Literature DB >> 29896812

Screening for pre-eclampsia by maternal factors and biomarkers at 11-13 weeks' gestation.

M Y Tan1,2, A Syngelaki1, L C Poon1,2, D L Rolnik1, N O'Gorman1, J L Delgado3, R Akolekar4, L Konstantinidou5, M Tsavdaridou6, S Galeva7, U Ajdacka8, F S Molina9, N Persico10, J C Jani11, W Plasencia12, E Greco13, G Papaioannou14, A Wright15, D Wright15, K H Nicolaides1,2.   

Abstract

OBJECTIVE: To examine the performance of screening for early, preterm and term pre-eclampsia (PE) at 11-13 weeks' gestation by maternal factors and combinations of mean arterial pressure (MAP), uterine artery (UtA) pulsatility index (PI), serum placental growth factor (PlGF) and serum pregnancy-associated plasma protein-A (PAPP-A).
METHODS: The data for this study were derived from three previously reported prospective non-intervention screening studies at 11 + 0 to 13 + 6 weeks' gestation in a combined total of 61 174 singleton pregnancies, including 1770 (2.9%) that developed PE. Bayes' theorem was used to combine the prior distribution of gestational age at delivery with PE, obtained from maternal characteristics, with various combinations of biomarker multiples of the median (MoM) values to derive patient-specific risks of delivery with PE at < 37 weeks' gestation. The performance of such screening was estimated.
RESULTS: In pregnancies that developed PE, compared to those without PE, the MoM values of UtA-PI and MAP were increased and those of PAPP-A and PlGF were decreased, and the deviation from normal was greater for early than late PE for all four biomarkers. Combined screening by maternal factors, UtA-PI, MAP and PlGF predicted 90% of early PE, 75% of preterm PE and 41% of term PE, at a screen-positive rate of 10%; inclusion of PAPP-A did not improve the performance of screening. The performance of screening depended on the racial origin of the women; on screening by a combination of maternal factors, MAP, UtA-PI and PlGF and using a risk cut-off of 1 in 100 for PE at < 37 weeks in Caucasian women, the screen-positive rate was 10% and detection rates for early, preterm and term PE were 88%, 69% and 40%, respectively. With the same method of screening and risk cut-off in women of Afro-Caribbean racial origin, the screen-positive rate was 34% and detection rates for early, preterm and term PE were 100%, 92% and 75%, respectively.
CONCLUSION: Screening by maternal factors and biomarkers at 11-13 weeks' gestation can identify a high proportion of pregnancies that develop early and preterm PE.
© 2018 Crown copyright. Ultrasound in Obstetrics & Gynecology © 2018 ISUOG. © 2018 Crown copyright. Ultrasound in Obstetrics & Gynecology © 2018 ISUOG.

Entities:  

Keywords:  ASPRE; Bayes' theorem; SPREE; aspirin; first-trimester screening; mean arterial pressure; placental growth factor; pregnancy-associated plasma protein-A; pyramid of pregnancy care; survival model; uterine artery Doppler

Mesh:

Substances:

Year:  2018        PMID: 29896812     DOI: 10.1002/uog.19112

Source DB:  PubMed          Journal:  Ultrasound Obstet Gynecol        ISSN: 0960-7692            Impact factor:   7.299


  41 in total

1.  The International Federation of Gynecology and Obstetrics (FIGO) initiative on pre-eclampsia: A pragmatic guide for first-trimester screening and prevention.

Authors:  Liona C Poon; Andrew Shennan; Jonathan A Hyett; Anil Kapur; Eran Hadar; Hema Divakar; Fionnuala McAuliffe; Fabricio da Silva Costa; Peter von Dadelszen; Harold David McIntyre; Anne B Kihara; Gian Carlo Di Renzo; Roberto Romero; Mary D'Alton; Vincenzo Berghella; Kypros H Nicolaides; Moshe Hod
Journal:  Int J Gynaecol Obstet       Date:  2019-05       Impact factor: 3.561

Review 2.  Comparative risks and predictors of preeclamptic pregnancy in the Eastern, Western and developing world.

Authors:  Ning Zhang; Jing Tan; HaiFeng Yang; Raouf A Khalil
Journal:  Biochem Pharmacol       Date:  2020-09-25       Impact factor: 5.858

3.  Prediction of preeclampsia throughout gestation with maternal characteristics and biophysical and biochemical markers: a longitudinal study.

Authors:  Adi L Tarca; Andreea Taran; Roberto Romero; Eunjung Jung; Carmen Paredes; Gaurav Bhatti; Corina Ghita; Tinnakorn Chaiworapongsa; Nandor Gabor Than; Chaur-Dong Hsu
Journal:  Am J Obstet Gynecol       Date:  2021-04-16       Impact factor: 8.661

4.  A blood test to predict complications of pregnancy.

Authors:  Lydia L Shook; Andrea G Edlow
Journal:  Nature       Date:  2022-01       Impact factor: 49.962

5.  Combining early (<11 weeks' gestation) ultrasound features and maternal factors to predict small-for-gestational age neonates.

Authors:  Tracey J Hanchard; Bradley S de Vries; Ann E Quinton; Michael Sinosich; Jonathan A Hyett
Journal:  Australas J Ultrasound Med       Date:  2020-08-20

6.  Model for Early Prediction of Preeclampsia: A Nested Case Controlled Study in Indian Women.

Authors:  Sonali Yadav; Sukhanshi Khandpur; Yogendra Singh Yadav; Madhu Mati Goel; Urmila Singh; Shankar Madhav Natu; Mahendra Pal S Negi; Lokendra Kumar Sharma; Swasti Tiwari
Journal:  J Obstet Gynaecol India       Date:  2021-06-29

7.  Identifying preeclampsia-associated genes using a control theory method.

Authors:  Xiaomei Li; Lin Liu; Clare Whitehead; Jiuyong Li; Benjamin Thierry; Thuc D Le; Marnie Winter
Journal:  Brief Funct Genomics       Date:  2022-07-27       Impact factor: 4.840

Review 8.  A literature review and best practice advice for second and third trimester risk stratification, monitoring, and management of pre-eclampsia: Compiled by the Pregnancy and Non-Communicable Diseases Committee of FIGO (the International Federation of Gynecology and Obstetrics).

Authors:  Liona C Poon; Laura A Magee; Stefan Verlohren; Andrew Shennan; Peter von Dadelszen; Eyal Sheiner; Eran Hadar; Gerard Visser; Fabricio Da Silva Costa; Anil Kapur; Fionnuala McAuliffe; Amala Nazareth; Muna Tahlak; Anne B Kihara; Hema Divakar; H David McIntyre; Vincenzo Berghella; Huixia Yang; Roberto Romero; Kypros H Nicolaides; Nir Melamed; Moshe Hod
Journal:  Int J Gynaecol Obstet       Date:  2021-07       Impact factor: 4.447

9.  First-Trimester Fetal Hepatic Artery Examination for Adverse Outcome Prediction.

Authors:  Bartosz Czuba; Piotr Tousty; Wojciech Cnota; Dariusz Borowski; Agnieszka Jagielska; Mariusz Dubiel; Anna Fuchs; Magda Fraszczyk-Tousty; Sylwia Dzidek; Anna Kajdy; Grzegorz Świercz; Sebastian Kwiatkowski
Journal:  J Clin Med       Date:  2022-04-08       Impact factor: 4.964

10.  Population screening for gestational hypertensive disorders using maternal, fetal and placental characteristics: A population-based prospective cohort study.

Authors:  Jan S Erkamp; Vincent W V Jaddoe; Liesbeth Duijts; Irwin K M Reiss; Annemarie G M G J Mulders; Eric A P Steegers; Romy Gaillard
Journal:  Prenat Diagn       Date:  2020-04-07       Impact factor: 3.050

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